#! python3
#Training_Reports.py
#A tool to process Compass Records and produce something human readable
#Licence: GPL-3.0-or-later
#Written by Stuart Griffiths, stuart.griffiths@birminghamscouts.org.uk
#Started 27/03/2022
#Version:0.6
#Released:
#Status: Working
#Inputs: CSV
#Outputs:  multiple CSV
#Next Steps: generate list of unique entries, upload to Drive?, retrive automatically, send e-mails, working directory selection, 
#Issues: 
#Background IP: https://automatetheboringstuff.com/, Chapter 16

#Notes - CSV Column Numbers
#Membership_Number = 0
#Surname = 2
#Known_As = 3
#Email = 4
#Member_Role = 5
#Roll_Status = 6
#Roll_Start_Date = 7
#Review_Date = 8
#District = 12
#Scout_Group = 14
#Training_Module = 16
#Module_Validated_On = 17
#Module_Renewal_Date = 20

#Libraries
import os #Enables file IO
from pathlib import Path #to work out current working directory
import csv #required to handle csv files
import datetime #required to deal with dates for due items
from dateutil.relativedelta import relativedelta #required to calculate 6 months later
#import openpyxl

#1. Set up Output files
#CSV
missing_file = open('missing_training.csv', 'w', newline='')
missing = csv.writer(missing_file)
missing.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted_Training_Module'])

GDPR_file = open('GDPR_training.csv', 'w', newline='')
GDPR = csv.writer(GDPR_file)
GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

#text files
GDPR_statistics_file = open('_GDPR_statistics.txt', 'w')

#Modules
def training_report():
    #2. Open the file
    file_name = str(Path.cwd()) + '/' + str('CountyTrainingv1.csv')
    input_file = open(file_name) #assumes file is in working directory
    #Create a list using the CSV file
    input_data_reader = csv.reader(input_file)
    input_data = list(input_data_reader)
    #Set up lists
    total_GDPR_list = []
    county_GDPR_list = []
    CVS_GDPR_list = []
    rea_GDPR_list = []
    spitfire_GDPR_list = []
    SCE_GDPR_list = []
    SCW_GDPR_list = []
    tame_GDPR_list = []

    #3. Process the data
    #Start at row 4 for the OSM output
    line_num = int(4) #strips header out
    #Ensure we start writing at row 2
    row_num_missing = 2
    row_num_late = 2
    row_num_due = 2
    row_num_started = 2
    while line_num < (len(input_data)-4): #while there is an entry to handle, do this
        #3.1. Test 1 - Are there training modules left to do?
        #Read the column
        role_training = input_data[line_num][17]
        #Check - Is it blank? Means not completed so of interest
        if role_training == "":
            #If blank, add to list using known_name, surname, email, member_role, group, district, training module
            missing.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][7], input_data[line_num][16]])


        #3.2 Test 2 - Missing GDPR?
        #GDPR
        #Check if Module is one we are interested in

        module_name = str(input_data[line_num][16])
        if module_name == 'General Data Protection Regulations':
            complete_check = str(input_data[line_num][17])
            member_number = input_data[line_num][0]
            #Check: is the date blank?
            if complete_check == '':
                GDPR.writerow([input_data[line_num][0], input_data[line_num][3], input_data[line_num][2], input_data[line_num][4], input_data[line_num][5], input_data[line_num][14], input_data[line_num][12], input_data[line_num][16], input_data[line_num][7]])
                try:
                    x = total_GDPR_list.index(member_number)
                    #if it is, nothing happens
                except:
                    #this executes if the membership number is not in the list
                    #Statistics
                    total_GDPR_list.append(member_number)
                    district_name = input_data[line_num][12]
                    if district_name == '':
                        county_GDPR_list.append(member_number)
                    if district_name == 'Cole Valley South':
                        CVS_GDPR_list.append(member_number)
                    if district_name == 'Rea Valley':
                        rea_GDPR_list.append(member_number)
                    if district_name == 'Birmingham Spitfire District Scout Association':
                        spitfire_GDPR_list.append(member_number)
                    if district_name == 'Sutton Coldfield East':
                        SCE_GDPR_list.append(member_number)
                    if district_name == 'Sutton Coldfield West':
                        SCW_GDPR_list.append(member_number)
                    if district_name == 'Tame Valley Birmingham':
                        tame_GDPR_list.append(member_number)
        line_num = line_num + 1 #continues the loop
    
    #3.3 Produce the statistics file
    GDPR_statistics_file.write('Statistics File for Training Reports\n')
    GDPR_statistics_file.write('====================================\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(total_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('County Roles\n')
    GDPR_statistics_file.write('============\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(county_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Cole Valley South Roles\n')
    GDPR_statistics_file.write('=======================\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(CVS_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Rea Valley Roles\n')
    GDPR_statistics_file.write('================\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(rea_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Spitfire Roles\n')
    GDPR_statistics_file.write('==============\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(spitfire_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Sutton Coldfield East Roles\n')
    GDPR_statistics_file.write('===========================\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(SCE_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Sutton Coldfield West Roles\n')
    GDPR_statistics_file.write('===========================\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(SCW_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    GDPR_statistics_file.write('Tame Valley Roles\n')
    GDPR_statistics_file.write('===========================\n')
    GDPR_statistics_file.write('Leaders who need to complete GDPR module: ' + str(len(tame_GDPR_list))+'\n')
    GDPR_statistics_file.write('\n')
    #4: Close files to show they are done

    missing_file.close()
    GDPR_file.close()
    print("Finished Total Reports!")

def districts_reports():
    #Runs after missing and soon due training has been listed. Produces district reports
    
    #County

    county_late_mandatory_file = open('county_missing_training.csv', 'w', newline='')
    county_late_mandatory = csv.writer(county_late_mandatory_file)
    county_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    county_GDPR_file = open('county_GDPR.csv', 'w', newline='')
    county_GDPR = csv.writer(county_GDPR_file)
    county_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District',  'Uncompleted_Training_Module'])


    #Districts

    CVS_late_mandatory_file = open('CVS_missing_training.csv', 'w', newline='')
    CVS_late_mandatory = csv.writer(CVS_late_mandatory_file)
    CVS_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    CVS_GDPR_file = open('CVS_GDPR.csv', 'w', newline='')
    CVS_GDPR = csv.writer(CVS_GDPR_file)
    CVS_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    spitfire_late_mandatory_file = open('spitfire_missing_training.csv', 'w', newline='')
    spitfire_late_mandatory = csv.writer(spitfire_late_mandatory_file)
    spitfire_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    spitfire_GDPR_file = open('spitfire_GDPR.csv', 'w', newline='')
    spitfire_GDPR = csv.writer(spitfire_GDPR_file)
    spitfire_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    SCE_late_mandatory_file = open('SCE_missing_training.csv', 'w', newline='')
    SCE_late_mandatory = csv.writer(SCE_late_mandatory_file)
    SCE_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    SCE_GDPR_file = open('SCE_GDPR.csv', 'w', newline='')
    SCE_GDPR = csv.writer(SCE_GDPR_file)
    SCE_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    SCW_late_mandatory_file = open('SCW_missing_training.csv', 'w', newline='')
    SCW_late_mandatory = csv.writer(SCW_late_mandatory_file)
    SCW_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    SCW_GDPR_file = open('SCW_GDPR.csv', 'w', newline='')
    SCW_GDPR = csv.writer(SCW_GDPR_file)
    SCW_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    rea_late_mandatory_file = open('rea_missing_training.csv', 'w', newline='')
    rea_late_mandatory = csv.writer(rea_late_mandatory_file)
    rea_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    rea_GDPR_file = open('rea_GDPR.csv', 'w', newline='')
    rea_GDPR = csv.writer(rea_GDPR_file)
    rea_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    tame_late_mandatory_file = open('tame_missing_training.csv', 'w', newline='')
    tame_late_mandatory = csv.writer(tame_late_mandatory_file)
    tame_late_mandatory.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Role Start Date', 'Uncompleted Training Module'])

    tame_GDPR_file = open('tame_GDPR.csv', 'w', newline='')
    tame_GDPR = csv.writer(tame_GDPR_file)
    tame_GDPR.writerow(['Membership Number', 'Known Name', 'Surname', 'E-Mail', 'Role', 'Group', 'District', 'Uncompleted_Training_Module'])

    #6. late reports 
    #Open the file
    file_name = str(Path.cwd()) + '/' + str('missing_training.csv')
    input_file = open(file_name) #assumes file is in working directory
    #Create a list using the CSV file
    input_data_reader = csv.reader(input_file)
    input_data = list(input_data_reader)

    #6.2 Process the data
    #start at row 2 to strip header out
    line_num = int(1)
    while line_num < (len(input_data)-1): #While there is an entry to handle, do something
        #read District info (6)
        district = input_data[line_num][6]
        if district == '':
            #If no district, must be county
            county_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Cole Valley South':
            CVS_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Birmingham Spitfire District Scout Association':
            spitfire_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Sutton Coldfield East':
            SCE_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Sutton Coldfield West':
            SCW_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Rea Valley':
            rea_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        if district == 'Tame Valley Birmingham':
            tame_late_mandatory.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7], input_data[line_num][8]])
        
        line_num = line_num + 1

    #7. late reports 
    #Open the file
    file_name = str(Path.cwd()) + '/' + str('GDPR_training.csv')
    input_file = open(file_name) #assumes file is in working directory
    #Create a list using the CSV file
    input_data_reader = csv.reader(input_file)
    input_data = list(input_data_reader)

    #7.2 Process the data
    #start at row 2 to strip header out
    line_num = int(1)
    #list of written membership numbers
    GDPR_list = []
    while line_num < (len(input_data)-1): #While there is an entry to handle, do something
        #read District info (6)
        district = input_data[line_num][6]
        member_number = input_data[line_num][0]
        try:
            x = GDPR_list.index(member_number)
            #if it is, nothing happens
        except:
            #this executes if the membership number is not in the list
            GDPR_list.append(member_number)        
            if district == '':
            #If no district, must be county
                county_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Cole Valley South':
                CVS_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Birmingham Spitfire District Scout Association':
                spitfire_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Sutton Coldfield East':
                SCE_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Sutton Coldfield West':
                SCW_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Rea Valley':
                rea_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
            if district == 'Tame Valley Birmingham':
                tame_GDPR.writerow([input_data[line_num][0], input_data[line_num][1], input_data[line_num][2], input_data[line_num][3], input_data[line_num][4], input_data[line_num][5], input_data[line_num][6], input_data[line_num][7]])
        line_num = line_num + 1 #continues the loop

    #8: Close the files
    county_late_mandatory_file.close()
    county_GDPR_file.close()
    CVS_late_mandatory_file.close()
    CVS_GDPR_file.close()
    spitfire_late_mandatory_file.close()
    spitfire_GDPR_file.close()
    SCE_late_mandatory_file.close()
    SCE_GDPR_file.close()
    SCW_late_mandatory_file.close()
    SCW_GDPR_file.close()
    rea_late_mandatory_file.close()
    rea_GDPR_file.close()
    tame_late_mandatory_file.close()
    tame_GDPR_file.close()
    
    print("District reports finished!")

#Program
training_report()
districts_reports()